AI in Healthcare: Bridging the Gap for the 4.5 Billion People Lacking Access to Essential Healthcare Services

Strategic Insights -

The World Economic Forum's white paper, The Future of AI-Enabled Health: Leading the Way, highlights the potential of artificial intelligence to revolutionize global healthcare, particularly in addressing the 4.5 billion people lacking access to essential healthcare services. With a health worker shortage of 11 million expected by 2030, AI has the potential to bridge the gap and get the world back on track to meet the United Nations' Sustainable Development Goal of achieving universal health coverage by 2030.

Key Takeaways:

  • AI technologies are already helping doctors spot fractures, triage patients, and detect early signs of disease, with a new AI software being "twice as accurate" as professionals at examining brain scans of stroke patients.
  • The use of AI in healthcare has the potential to enhance efficiency, reduce costs, and improve health outcomes globally, as seen in the case of a UK study that found AI could correctly predict patients needing to be transferred to hospital in 80% of cases.
  • AI can detect the presence of certain diseases before symptoms appear, with AstraZeneca's new machine learning model able to predict disease diagnosis with high confidence many years later using medical data from 500,000 people.
  • AI can help identify and classify medicinal plants, and analyze traditional medicine compounds to treat blood disorders, with researchers in Ghana and South Korea working on AI-powered solutions to improve healthcare.
  • AI can alleviate the workload of healthcare providers, with a digital patient platform reducing readmission rates by 30% and alleviating the workload of healthcare providers by up to 40%.
  • Regulating AI tools is essential to ensure accuracy and safety, with the Medicines and Healthcare products Regulatory Agency in the UK and the Food and Drug Administration (FDA) in the US playing a crucial role in regulating AI-powered medical devices.
  • Encryption and secure data storage of Indigenous health data are being developed, including built-in safeguards to prevent unauthorized data access and exploitation.

Statistics:

  • 4.5 billion people lack access to essential healthcare services
  • 11 million health workers expected to be in shortage by 2030
  • AI can detect the presence of certain diseases before symptoms appear, with AstraZeneca's new machine learning model predicting disease diagnosis with high confidence many years later
  • AI can correctly predict patients needing to be transferred to hospital in 80% of cases
  • The global TCIM market is expected to reach nearly $600 billion in 2025
  • 29% of people trust AI to provide basic health advice
  • 68% are comfortable with AI being used to free up professionals' time
  • The UK has a shortage of X-ray technicians, with AI potentially helping to alleviate this shortage

Sources:

  • World Economic Forum's white paper, The Future of AI-Enabled Health: Leading the Way
  • AstraZeneca's machine learning model
  • UK study on AI predicting patients needing to be transferred to hospital
  • Case study on digital patient platform Huma
  • Report on AI in traditional medicine by the World Health Organization (WHO) and partners
  • Report on AI-powered medical devices by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK
  • FDA's report on regulation of AI in healthcare
  • Study on AI in healthcare administration by Microsoft
  • Report on AI in traditional medicine by the World Health Organization (WHO) and partners